Programming Logic and Design

9 important questions on Programming Logic and Design

What is modularization in programming?

Modularization is the process of dividing a large program into smaller modules or subunits for better organization and maintenance.

What is encapsulation in programming?

Encapsulation is the grouping of program elements within a module to keep related logic together.

What is mainline logic in a program?

Mainline logic refers to the basic steps or main logic of a program that determines the flow and execution of the program.
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What is scope and visibility in programming?

Scope and visibility refer to the accessibility of variables and constants within a program, determining where they can be used.

What are programming comments used for?

Programming comments are written explanations within code that provide clarity and documentation for better understanding and collaboration.

What are identifiers in programming?

Identifiers are names given to program components such as variables, functions, or modules, to uniquely identify and refer to them.

The general rule for identifiers in programming is that they should start with a letter or an underscore (_) and can contain letters, numbers, and underscores. They cannot start with a number or contain spaces or special characters.

List out the data types used for variables and constants in programming?

The data types include integers, floating-point numbers, characters, strings, booleans, and void, null. Each data type has specific characteristics and memory requirements.

What is the importance of understanding variables and constants in programming?

Understanding variables and constants is crucial as they store and manipulate data in a program. Their proper declaration and usage ensure efficient memory utilization and enable dynamic data handling.

What are some programming best practices that should be followed?

Programming best practices include
  • proper planning before coding
  • flowcharting to visualize program logic
  • meaningful variable names
  • testing & validation

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